基于逻辑回归的淘宝商店销售影响因素分析  

The Factors of Affecting the Sales of Taobao Store Based on Logistic Regression

作　　者：叶阿真[1] 

机构地区：[1]福建信息职业技术学院,福建福州350019

出　　处：《太原师范学院学报（自然科学版）》2016年第3期39-41,64,共4页Journal of Taiyuan Normal University:Natural Science Edition

基　　金：福建省中青年教师教育科研项目(JBS14455)

摘　　要：网上商城营销是指以网络为平台,通过网上店铺窗口把产品销售给客户.网店营销不同于传统上实体店销售,它不是简单的营销网络化,但它又没有完全抛开传统营销的理论,而是与传统营销相互整合后形成的新的营销形式,由于依赖于互联网平台,则顾客购买的欲望所依赖的指标不同于实体店的指标.网店销售的主要依赖指标包括搜索占比、商城占比、点击率、宝贝数量、直通车,那么这些指标对顾客购买率的影响是如何呢?本文以儿童豆豆鞋为例,利用Logistic回归分析这些因素对顾客购买率的影响作用.Online mall marketing is to refer to the network as a platform, through the online shop window to sell products to customers. Shop marketing is different from the traditional store sales,it is not a simple marketing network, but it＇s not completely out of the traditional marketing theory, and is a new form of marketing after the integration of traditional marketing. Due to rely on the Internet platform,The customers desire to buy depends on the index of the index different from the physical store. Shop sales of the main indicators include search accounted for, mall proportion, click rate, the number of baby, through the car. So what are the effects of these indicators on the customer purchase rate In this paper, Taking children shoes as an example, the use of Logistic regression analysis of the impact of these factors on the impact of customer purchase rate.

关 键 词：网店 营销 点击率 LOGISTIC回归 

分 类 号：F49[经济管理—产业经济]